BCSC 433-1
Daniel Gildea
TR 11:05AM - 12:20PM
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- Location
- Online Room 10 (ASE) (TR 11:05AM - 12:20PM)
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BCSC 505-1
Martina Poletti
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An interdisciplinary introduction to perception and action. Topics covered include the perception of motion, depth, surfaces, pattern and object perception, eye movements, motor planning and organization, and attention.
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BCSC 508-1
Rajeev Raizada
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General introduction to neuroscientific studies of various aspects of human cognition and perception, e.g. object-recognition, development, attention, language, vision, etc.The class will consist both of lectures and also seminar-type discussions led by the students.
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BCSC 519-1
Tim Jaeger
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The course will cover a variety of statistical techniques used in vision and perception research, including applied linear regression analysis, ANOVA, linear mixed models, Frequentist vs Bayesian inference, power analysis, and type 1 errors. Each of these techniques will be reviewed and implemented using data from research provided by students. Students will study each method, develop a reading list, and give a presentation on that method. Reading and homework will be assigned based on the weekly topic.
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BCSC 520-1
Michele Rucci
MW 2:00PM - 3:15PM
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Provides an interdisciplinary view of modern research into how the human brain solves the problems involved in perception, including how we perceive the three-dimensional structure of the world, how we recognize objects and how visual information is used to control action in the world. Students read contemporary research and, through classroom discussion and critical essays, explore and analyze the questions and debates that define contemporary perceptual science. Prerequisite: BCS 151
- Location
- Online Room 3 (ASE) (MW 2:00PM - 3:15PM)
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BCSC 528-1
Duje Tadin
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Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers.
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BCSC 530-1
Ehsan Hoque
F 11:00AM - 12:30PMT 5:00PM - 7:00PM
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This course provides an introduction to experimental and analytical methods in cognitive science and artificial intelligence. This class will comprise of a monthly seminar following by an intensive discussion on the assigned reading topics. The course is open to graduate students in any discipline. The course is recommended for those who intend to pursue research at the intersection of cognitive science and computer science, but prior experience in those fields is not required. It is required for students supported by the BCS/CS NRT graduate training grant.
- Location
- (F 11:00AM - 12:30PM)
- (T 5:00PM - 7:00PM)
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BCSC 536-1
Chenliang Xu
TR 2:00PM - 3:15PM
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Introduction to computer vision, including camera models, basic image processing, pattern and object recognition, and elements of human vision. Specific topics include geometric issues, statistical models, Hough transforms, color theory, texture, and optic flow. CSC 449, a graduate-level course, requires additional readings and assignments. Prerequisites: MTH 161 and CSC 242; MTH 165 strongly recommended or equivalent.
- Location
- Online Room 1 (ASE) (TR 2:00PM - 3:15PM)
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BCSC 541-1
Farran Briggs
TR 9:40AM - 10:55AM
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This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201
- Location
- Hylan Building Room 201 (TR 9:40AM - 10:55AM)
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BCSC 542-1
Amy Martinez
TR 3:25PM - 4:40PM
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Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. Prerequisite: BCSC 110 or BCSC 240/NSCI 201
- Location
- Online Room 1 (ASE) (TR 3:25PM - 4:40PM)
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BCSC 543-1
Renee Miller
MWF 10:25AM - 11:15AM
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This class covers how the brain controls behavior, and what goes wrong in various diseases, from a neurochemistry perspective. We start by learning about the neurochemicals –neurotransmitters, peptides, growth factors, etc. and move on to their receptors and associated signaling pathways, including gene transcription and epigenetics. An emphasis is placed on primary research literature, experimentation/data analysis and application of knowledge to the interpretation of scientific data. Students will attend research seminars on campus or online and write brief summaries of their understanding. The course culminates in small group presentations about the neurochemistry of diseases of interest, and an individual research review paper on the same topic. Prerequisite: BCSC 240/NSCI 201. BIOL 250 is helpful but not required.
- Location
- Gavett Hall Room 206 (MWF 10:25AM - 11:15AM)
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BCSC 570-1
Mujdat Cetin
MW 2:00PM - 3:15PM
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This course provides a broad introduction to augmented and virtual reality (AR/VR) systems. The course involves lectures covering an overview of all aspects of the AR/VR domain, as well as individual work performed by each student aimed at providing more intensive training on various aspects of AR/VR. Topics covered in the lectures include history, conceptual origins, and design/evaluation principles of AR/VR technologies; overview of visual/auditory/haptic AR/VR interfaces and applications; visual perception; optics/platforms/sensors/displays; auditory perception and spatial audio; silicon hardware architecture and materials; graphics and computation; interfaces and user experience design; data processing and machine intelligence for AR/VR; introduction to AR/VR programming tools; societal implications and ethical aspects. At the end of the course, students will have gained familiarity with the techniques, languages, and cultures of fields integral to the convergent research theme of AR/VR. This course is co-instructed by Mujdat Cetin, Michele Rucci, Ross Maddox, Jannick Rolland, Yuhao Zhu, Andrew White, Chenliang Xu, and Zhen Bai.
- Location
- Online Room 22 (ASE) (MW 2:00PM - 3:15PM)
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BCSC 591-2
Chung-Lin Yang
MW 12:30PM - 1:45PM
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- (MW 12:30PM - 1:45PM)
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BCSC 595-01
Ralf Haefner
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BCSC 595-02
Manuel Gomez-Ramirez
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BCSC 595-03
Duje Tadin
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BCSC 595-04
Robert Jacobs
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BCSC 595-05
Michele Rucci
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BCSC 595-06
Adam Snyder
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BCSC 595-07
Martina Poletti
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BCSC 595-08
Gregory DeAngelis
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BCSC 595-09
Rajeev Raizada
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BCSC 595-10
Tim Jaeger
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BCSC 595-11
Jude Mitchell
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BCSC 595-12
Elise Piazza
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BCSC 598-1
Amy Martinez
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BCSC 598-2
Duje Tadin
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BCSC 598-3
Chung-Lin Yang
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BCSC 598-4
Gregory DeAngelis
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BCSC 598-5
Kevin Davis
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BCSC 598-6
Robert Jacobs
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BCSC 895-1
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BCSC 995-1
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BCSC 997-1
Michele Rucci
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BCSC 999-01
Ralf Haefner
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BCSC 999-02
Manuel Gomez-Ramirez
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BCSC 999-03
Duje Tadin
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BCSC 999-04
Robert Jacobs
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BCSC 999-05
Michele Rucci
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BCSC 999-06
Adam Snyder
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BCSC 999-07
Martina Poletti
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BCSC 999-08
Gregory DeAngelis
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BCSC 999-09
Rajeev Raizada
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BCSC 999-10
Tim Jaeger
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BCSC 999-11
Jude Mitchell
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